Hire Data Analyst for Cafes
Senior, direct, no layers

A cafe runs on a short, intense peak and on regulars. The morning rush decides the day: a slow queue, a card machine that drops, or a loyalty card nobody can find costs sales that cannot be recovered at 3pm. Margins are thin, bean and milk prices move, and a small team does everything from dialling in the grinder to answering Instagram messages.

The fixable problems in a cafe are usually small and repeated: orders taken twice, the menu board and the website disagreeing, regulars who are never recognised, retail bags of beans sold only to whoever happens to ask, and no simple way for a customer to order ahead or subscribe. None of these needs an enterprise system. All of them need one person to own them.

A data analyst for cafes turns till, booking, and review data into decisions: what to keep, what to drop, when to staff up, and which guests are drifting away. Book a free discovery call and we will test the fit before any scope is agreed.

Operations. In a cafe, the systems that matter are the till, the loyalty scheme, the ordering channel, and the roster. Staff are few and multitask, so anything built here must be learnable in minutes and survivable when one person calls in sick. The work below is scoped for that reality: simple tools, one owner, and no process that depends on someone remembering a manual step.

Tools and systems. Cafes commonly run Square or Lightspeed at the till, with Toast in larger sites, and 7shifts or Deputy for rotas. Loyalty often lives in Square Loyalty or a stamp scheme, subscriptions and retail bean sales through Shopify, and discovery through Google Business Profile and Instagram. The job is to make those pieces agree: the same menu, the same prices, and the same regular recognised whether they order at the counter or ahead on their phone.

Outcomes. Expect decisions backed by the venue's own numbers: quiet periods staffed sensibly, weak items removed with evidence, and marketing aimed at guests who actually return.